Stability region analysis using sum of squares programming

We propose using (bilinear) sum of squares programming for enlarging a provable region of attraction of polynomial systems using polynomial Lyapunov functions. In order to keep the number of decision variables low, we propose the use of composite Lyapunov functions. We also present a method of finding outer bounds of attractive invariant sets for polynomial systems. Excellent results for some examples were obtained using the proposed methods and the PENBMI solver

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